{"id":"W4229021732","doi":"10.30968/rbfhss.2022.131.0769","title":"Medicines regulation, pricing and reimbursement in Brazil","year":2022,"lang":"en","type":"article","venue":"Revista Brasileira de Farmácia Hospitalar e Serviços de Saúde","topic":"Public Health in Brazil","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research","funders":"Universidade Estadual do Oeste do Paraná","keywords":"Reimbursement; Business; Procurement; Public economics; Enforcement; Health care; Finance; Economics; Marketing; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006178887,0.0002559647,0.0004348536,0.0003520422,0.001270737,0.0002045063,0.0006772574,0.0001526001,0.0007321415],"category_scores_gemma":[0.001291285,0.0003003175,0.00007756113,0.00149201,0.000231395,0.0003830391,0.0003464492,0.0006206482,0.00001279599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834169,"about_ca_system_score_gemma":0.0012183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341513,"about_ca_topic_score_gemma":0.0007691316,"domain_scores_codex":[0.9953977,0.00122449,0.0007129294,0.0005923348,0.0009819492,0.001090578],"domain_scores_gemma":[0.9982705,0.0003211079,0.000289489,0.0004778029,0.0001813087,0.0004598239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002439365,0.000138031,0.9236441,0.0002169361,0.00002369252,0.00005994712,0.01540842,0.000133444,0.0002180187,0.04601841,0.0067025,0.007412171],"study_design_scores_gemma":[0.0006275945,0.0001184294,0.8491929,0.0001148399,0.00002222385,0.0000215236,0.00580664,0.0006166017,0.00001133925,0.001203966,0.1419214,0.0003426046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97412,0.001911251,0.0001781968,0.01327666,0.0003001576,0.001037167,0.00001913278,0.0001871262,0.00897032],"genre_scores_gemma":[0.99084,0.0002693723,0.0009074495,0.006666172,0.0003705473,0.0002126615,0.00002994536,0.00005047172,0.0006533496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1352189,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558400284001325,"score_gpt":0.3239915639059483,"score_spread":0.308407561065935,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}